The Verge examines whether AI can address the persistent problem of legacy software written in aging programming languages like COBOL. Such code underpins systems at the IRS, banks, airlines, and government infrastructure worldwide, and organizations are often reluctant to modify it for fear of causing failures.
On October 19th, OpenAI said its latest AI models showed “substantial improvements” at migrating software written in older languages into modern code. The company claims this capability could assist organizations with maintaining and modernizing older systems, with COBOL cited as one example.
Why it matters
Legacy code remains deeply embedded in essential institutions, and the difficulty of updating it poses ongoing operational risk. If AI tools can reliably translate old code into modern languages, that could affect how these systems are maintained.
Who should care
Organizations that depend on legacy systems — including financial institutions, government agencies, and airlines — along with the teams responsible for maintaining them, have reason to follow these developments.